TY - JOUR
T1 - Public Acceptance towards Emerging Autonomous Vehicle Technology
T2 - A Bibliometric Research
AU - Ho, Jen Sim
AU - Tan, Booi Chen
AU - Lau, Teck Chai
AU - Khan, Nasreen
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/1
Y1 - 2023/1
N2 - In the current challenging and competitive dynamic business world today, automotive companies have been rapidly developing and promoting autonomous vehicles (AVs), which aim to reduce crashes, energy consumption, pollution, and congestion and increase transport accessibility. To ensure the successful adoption of AVs, an increasing number of studies have been conducted to understand public acceptance. This paper used the bibliometric technique to understand the distribution, emerging trend, and the research cluster in the context of AV technology acceptance through knowledge mapping. The Web of Science database was used to retrieve 401 scientific articles from 2000 to June 2022. The findings reported that the previous studies mainly focused on the research clusters related to the domains of attitude, trust, technology, impact, and models. Finally, this study added to the existing body of literature by providing the current knowledge landscape to guide the future research.
AB - In the current challenging and competitive dynamic business world today, automotive companies have been rapidly developing and promoting autonomous vehicles (AVs), which aim to reduce crashes, energy consumption, pollution, and congestion and increase transport accessibility. To ensure the successful adoption of AVs, an increasing number of studies have been conducted to understand public acceptance. This paper used the bibliometric technique to understand the distribution, emerging trend, and the research cluster in the context of AV technology acceptance through knowledge mapping. The Web of Science database was used to retrieve 401 scientific articles from 2000 to June 2022. The findings reported that the previous studies mainly focused on the research clusters related to the domains of attitude, trust, technology, impact, and models. Finally, this study added to the existing body of literature by providing the current knowledge landscape to guide the future research.
KW - autonomous vehicle
KW - bibliometric techniques
KW - public acceptance
KW - research trends
UR - http://www.scopus.com/inward/record.url?scp=85157961421&partnerID=8YFLogxK
U2 - 10.3390/su15021566
DO - 10.3390/su15021566
M3 - Review article
AN - SCOPUS:85157961421
SN - 2071-1050
VL - 15
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 2
M1 - 1566
ER -